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Setting Behavior of Fast-Setting Calcium Phosphate Cement with Mineral Phase of Bone Pan Jian, Tian Jiemo, Dong Limin and Wang Chen State Key lab of Fine Ceramics & Processing, Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 102201, China Keywords: FSCPC, Hydroxyapatite, Mineral phase of bone.
Yang, T.

The Design and Realization of airborne electrical equipments’ online test system in the environments of mechanics Yongtao Yu1, a, Ming Chen2,b , Feng Tian 3,c and Yingji Shan 4,d 1 School of Automation Engineering, Shenyang Aerospace University, Shenyang 110136, China 2 School of Automation Engineering, Shenyang Aerospace University, Shenyang 110136, China 3 School of Automation Engineering, Shenyang Aerospace University, Shenyang 110136, China 4 Aircraft Industry Corporation of Shen Yang, Shenyang 110850, China a369544184@qq.com,b670598323@qq.com,ctianfeng5861@163.com, d2560992234@qq.com Keywords: Airborne Electrical Equipments,In the Environments of Mechanics,Online Test,Failure Diagnosis,the Reversible Failure Abstract.
Yang, J.M.

Synthesis of a new Chelating Corn Starch and Application on Preconcentration of Copper (II) Tong Lv*，Zhenxing Tian, Chunhong Hu College of Material science and Engineering, Tianjin Polytechnic University, Tianjin, China lvtong@tjpu.edu.cn Key words: Chelating starch; graft; Methyl acrylate; Ethylene diamine; Adsorption; Copper ion Abstract：：：：A chelating starch (SMAEN) containing amidocyanogen and acyl functions was prepared through a two-step reaction.
[11] Wang J., Chen H.X., Yu C.Y., Yang J.Z., "Demulsification of the Dendrimers Polyamindoamine for the Simulated Crude O/W Emulsion", Acta Petrolei Sinica(petroleum procession section), Vol.18, No. 3, 2002, pp.60-64
[18] Chang X.J, Guo Y.T., Wang S., Zhao R., and Yang D., "Synthesis and Efficiency of Poly (Acryl-p-Nitrophenylamidrazone-p-Nitrophenylhydrazide) Chelating Fibre for Pre-Concentration and Separation of Trace Concentrations of Bi 3+, In3+, Sn4+, Ga 3+and Ti 4+ ", Microchimica Acta, Vol.146, No.1, 2004, pp.61-66.

[2] Li Jian: Four-dimensional Modeling and Remaining Oil Prediction of Flow Units in Low Permeability Reservoir Delta [M],Bei Jing, China Petroleum Industry Press(2004), 75~86 [3] Zhang Jichun and Peng Shifu: Four-dimensional Dynamic Simulation Models for Flow Unit[J]: ACTA PETROLEI SINICA (2005), 26 (1): 69~73 [4] Sun Guo: 4D Geological Modeling Using Artificial Neural Network System[J]: Petroleum Geology and Recovery Efficiency(2004), 11(3):4~6 [5]Feng Youkui translated: 4D Geology[J]: Xinjiang Petroleum Geology(2005), 26(3):339~342 [6] Peng Shifu,Yin Zhijun and Li Haiyan: A New Trial to Build a 4-Dimensional Reservoir Model [J]: Geological Review (2004), 50(6):662~665 [7] Zhong Luo: Artificial Neural Network and Its Application Integration[M], Beijing, Science Press(2007), 1~11 [8] Pang Taotao, Yao Jianbin and Du Liming: Artificial Neural Networks for the Identification of Infrared Spectra of Ilex Kudingcha[J]: Spectroscopy and Spectral Analysis (2007), 27(7):1336~1339 [9] Tian
Jingwen and Gao Meijuan: Thin Interbeded Reservoir Parameters Predicting Based on Improved Simulated Annealing Artificial Neural Network[J]: Information And Control(2002), 31(2):180~188 [10] Yang Bin: Reservoir Parameter Inversion Using Neural Fuzzy System[J]: Oil & Gas Geology (2000), 21(2):173~175
[11] Li Fengjie : Application of Artificial Neural Networks In Reservoir Parameter Prediction[J]:Natural Gas Geoscience (2004), 15(3):243~246 [12] Yang Huiyan : Predicting Reservoir Parameters by Applying the Modified Neural Network Learning Method[J]: Natural Gas Industry (2005), 25(6):37~39

Research on the Parameter Estimating Algorithms of Image Edge Detection SHANG Ya-ceng1, CHEN Jing2 and TIAN Jun-wei1 1School of Mechanical Engineering, Xi’an Technological University, Xi’an, China 2School of Mechanical Engineering, Xi’an Technological University, YangZhou, China hailingmm123@163.com, chenjingys@163.com,tianjunweimm123@163.com Keywords-image processing; least squares estimation; maximum likelihood estimation; sub-pixel; edge detection Abstract-During detecting the edge of the images, the text partly use great likelihood estimation and least square method estimation algorithm to estimate, we found the result of two estimate algorithms used in the same model are different through experimental analysis.
Journal of Xiangnan University. 2009, vol2,pp.21-23 [5] DAI Jia-jia, YANG Ai-jun, YANG Zhen-hai.

Analysis of the influence factors and countermeasures of construction waste recycling industry’s development in Haikou Li Yan1, 2 Chen Hua 3 Tian Yuan Fu 1 Fan Yan4 (1, College of Civil Engineering and Architecture ,Hainan University, Hainan Haikou 570228, China 2 School of Management and Economics, Tianjin University, Tianjin 300072, China, 3 School of Marxism Hainan University, Hainan Haikou 570228, China 4.
Reference [1] Yang wei jun.
[8] CHEN Gang, SU Lei, CHEN Yang.

Shanxi Highway Earthquake Disaster Risk Division Based on GIS LI Peng-li1,a, Tian Wei-ping1,b, Han Min2,c ,Peng Ran3,d 1Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’ an University, Xi’an 710064, China.2Tianjin Municipal Design and Research Institute, TianJin 300010 China 3 First Survey and Design Institute of China Highway Traffic, Xi’an 710058, China) ali.pengli@sohu.com,bfz02@chd.edu.cn,chanmin210@163.com,dprangel123@126.com Keywords: highway, post-earthquake, disaster, partition, GIS Abstract:The paper take Shanxi Province as the object of study, through the analysis of the type after shaking the Shanxi Province road secondary geology disaster, the distribution rule and send the disaster mechanism's investigation and the analysis, the Shanxi Province earthquake secondary disaster mainly have the pitch geology disaster, the mud-rock flow disaster as well as the roadbed cave in three broad headings.
W., Yang B et al., Debris Hazard Assessment System Based on GIS and Neural Network[J], Computer Science, 2009, 35(3):205—207
[M] Beijing: China Map Publishing House [8]YANG Qin-ye, LI Shuang-cheng.

The research on the method of feature selection in support vector Machine based Entropy Xiaoyan Zhu 1,a, Xi Tian 1,band Xiaoxun Zhu 2,c 1 Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, Hebei Province 2 Department of Power Engineering, North China Electric Power University, Baoding 071003, Hebei Province azhuxiaoyan3257@yahoo.com, btianxi901@163.com, czhuxiaoxun@163.com Keywords: Fault diagnosis,Entropy,support vector Machine,feature selection Abstract.
[2] Jiayang Wang, Chao Liao, Research on the Attribute Reduction and Rule Acquisition of Time-Series Data Based on Rough Entropy [J] , Journal of Hunan University(Natural Sciences) 2005, 32(4),P.112-116(in Chinese) [3] Ming Yang, Ping Yang, Zhihui Sun, An Attribute Reduetion Algorithm Basedon Rules [J], Computer Science, 2003,30(6),P.122-125(in Chinese) [4] Lixin Wei, Chongzhao Han,A Novel Attribute Reduction Method Using Chi Square Statistics [J], Computer Simulation, 2007,24（5),P.72-74,106(in Chinese) [5] Runqiang Yin, Xiaokun Huan, Zhenliang Zhang, Decision Algorithm for Finding Reduct Based on Inter-information of Rough Set[J], Journal of Yunnan Nationalities University(Natural Sciences Edition, 2006,15(1),P.12-14(in Chinese) [6] Dongbo Zhang, Huixian Huang, Yaonan Wang, Feature selection neural network ensemble based on rough sets Reducts[J], Control and Decision, 2010,25(3),P.371-377(in Chinese) [7] Zhonghe Han, Xiaoxun Zhu, Selection of Training Sample Length in Support

[5] Chenglin Yang, Shulin Tian , Bing Long, “Application of Heuristic Graph Search to Test-Point Selection for Analog Fault Dictionary Techniques,” IEEE Trans, Vol. 58, NO. 7, July, 2009.

Tian et al. [6] developed a transient three-dimensional thermal model for LAM of silicon nitride ceramics and Inconel 718.
Yang, S.
Tian, B.